Work

Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices

Year: 2021

Type: article

Source: Proceedings of Machine Learning and Systems

Authors: Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse Beu

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3136481171

FWCI: 0.383

Cites: 45

Cited by: 5

Related to: 10